中英
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neural network training中文是什么意思
发音:
- 中文翻译
- 造句
- 神经网络训练
- neural network 【计算机】模拟脑神经元网络〔一种模拟人脑神经细胞的电脑系统〕。
- alternating projection neural network 交替投影神经网络
- ann artificial neural network 人工神经网络
- articificial neural network 类神经网络
- artificial neural network 类神经网路; 人工神经网络
- artificial neural network (ann) 类神经网络
- artificial neural network system 人工神经元网络系统
- biological neural network 神经网络
- chaotic neural network 混沌神经网络
- cnn cellular neural network 蜂窝神经网络
- cnn computational neural network 计算的神经中枢网
- connectionist neural network 连接机制神经网络
- european neural network society 欧洲神经网络学会; 欧洲神经元网络
- feed-forward neural network 反向传输神经网络
- fnn fuzzy neural network 模糊神经网络
- fuzzy neural network 模糊神经网络
- fuzzy-neural network 模糊神经网络
- higher order neural network 高阶神经网络
- hnn hybrid neural network 混合神经网络
- hopfield neural network 霍普菲尔德神经网络
- ieee neural network council ieee神经网络委员会
- japanese neural network society 日本神经网络协会
- knowledge and neural network 知识和神经网络
- mp neural network mp神经网络
- multilayer neural network 多层神经网络
- neural network training algorithm based on particle swarm optimization
神经网络基于粒子群优化的学习算法研究 - 2 . standard samples that are needed for neural network training are made
2.制作神经网络训练所需的标准样本。 - neural network training for system identification using a least square method
神经网络用于系统辨识的一种最小二乘法 - neural network trained with particle swarm algorithm and its application to nonlinear system identification
粒子群神经网络及其在非线性系统辨识中的应用 - The neural network training algorithm is improved, which is based on instantaneous optimal control method, taking into consideration of the energy of earthquake
摘要改进一种基于瞬时最优控制的神经网络训练算法。 - The application of hybrid algorithm which combines improved genetic algorithm and error back-propagation algorithm in artificial neural network training is studied first
首先研究了将改进遗传算法和误差反向传播(bp)算法相结合的混合算法来训练人工神经网络。 - The advanced and efficient algorithm variable scale method for learning is used in bp neural network training . finally the control simulation results are given
在bp网络的训练过程中，采用了自调整的学习算子以加速收敛得到较好的学习效果，最后给出了仿真结果。 - Finally, in order to solve the problem of getting the sample of input / output, a neural networks training algorithm is proposed that is based on instantaneous optimal control method
针对训练样本对难以获取的问题，提出了基于瞬时最优控制神经网络的建筑结构主动控制。 - The fault diagnosis example shows that the difficulty of neural network training is diminished and the fault diagnosis accuracy can reach more then 99 % when faults overlaps exist
通过诊断示例表明，该方法在故障类存在重叠时，降低了神经网络的训练难度，故障诊断的正确率达到99%以上。
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Last modified time:Tue, 19 Aug 2025 00:29:56 GMT
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